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Variational Inference

Papers

Showing 701750 of 2274 papers

TitleStatusHype
Fully probabilistic deep models for forward and inverse problems in parametric PDEs0
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Unitary Approximate Message Passing for Matrix Factorization0
Sliced Wasserstein Variational Inference0
One Simple Trick to Fix Your Bayesian Neural Network0
Learning Generalizable Latent Representations for Novel Degradations in Super Resolution0
Reliable amortized variational inference with physics-based latent distribution correctionCode1
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection0
Mean-field Variational Inference via Wasserstein Gradient Flow0
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows0
The Free Energy Principle for Perception and Action: A Deep Learning Perspective0
On the Robustness of Bayesian Neural Networks to Adversarial AttacksCode1
Scalable Bayesian Inference for Detection and Deblending in Astronomical ImagesCode1
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityCode0
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical studyCode0
Challenges and Pitfalls of Bayesian Unlearning0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
Variational Flow Graphical Model0
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical SystemsCode1
Modeling Randomly Walking Volatility with Chained Gamma Distributions0
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approachCode0
Variational Deep Image RestorationCode1
Variational Inference for Additive Main and Multiplicative Interaction Effects Models0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Reconstructing the Universe with Variational self-Boosted Sampling0
Sum-of-Squares Relaxations for Information Theory and Variational Inference0
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue0
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point ProcessesCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation0
Variational Causal Dynamics: Discovering Modular World Models from Interventions0
Cold Posteriors through PAC-Bayes0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis0
Scaling multi-species occupancy models to large citizen science datasets0
Spherical Sliced-WassersteinCode1
Personalized Federated Learning via Variational Bayesian InferenceCode1
Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility0
Deep Variational Implicit ProcessesCode0
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian GradientsCode0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations0
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning0
PAVI: Plate-Amortized Variational Inference0
Scalable Deep Gaussian Markov Random Fields for General GraphsCode1
Accurate Node Feature Estimation with Structured Variational Graph AutoencoderCode1
Decoupled Self-supervised Learning for Non-Homophilous Graphs0
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisCode1
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
BaCaDI: Bayesian Causal Discovery with Unknown InterventionsCode1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
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